Cascade Nonlinear Diffusion Equation Filtering
Wenyuan Wang · Yingxiang jishu · 2006
Nonlinear diffusion equation filtering is a powerful tool for enhancing image while preserving edges not drifting or blurred.However,every model of nonlinear diffusion filtering has its limitation in application.Cascade nonlinear diffusion equation filtering is proposed in the paper.It combines scalar and tensor nonlinear diffusion filtering models to form new filtering algorithms.Comparing with the existing algorithms,the new algorithms have more extensive application and can acquire better images in quality from the degraded images.Furthermore,the new algorithms have high efficiency by using AOS scheme.Two examples illustrate the performance of the algorithms on datas generated by different modalities.